Li‐Wha Wu

4.0k total citations · 1 hit paper
77 papers, 3.2k citations indexed

About

Li‐Wha Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Li‐Wha Wu has authored 77 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 23 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Li‐Wha Wu's work include Angiogenesis and VEGF in Cancer (13 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Protease and Inhibitor Mechanisms (6 papers). Li‐Wha Wu is often cited by papers focused on Angiogenesis and VEGF in Cancer (13 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Protease and Inhibitor Mechanisms (6 papers). Li‐Wha Wu collaborates with scholars based in Taiwan, United States and India. Li‐Wha Wu's co-authors include David B. Donner, James D. Dunbar, Sen‐Tien Tsai, Michael Karin, Robert S. Warren, Lindsey D. Mayo, Koji Taniguchi, Sergei I. Grivennikov, Kepeng Wang and Eric Jaffe and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Li‐Wha Wu

77 papers receiving 3.1k citations

Hit Papers

A gp130–Src–YAP module links inflammation to epithelial r... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Li‐Wha Wu Taiwan 30 1.8k 757 649 556 443 77 3.2k
Motoi Ohba Japan 38 2.3k 1.3× 601 0.8× 434 0.7× 361 0.6× 421 1.0× 66 3.3k
Rainer Zenz Austria 16 1.3k 0.7× 758 1.0× 733 1.1× 370 0.7× 260 0.6× 20 2.6k
Diana Mechtcheriakova Austria 31 2.3k 1.3× 439 0.6× 915 1.4× 309 0.6× 477 1.1× 64 3.6k
Xianlu Zeng China 31 1.5k 0.8× 824 1.1× 614 0.9× 373 0.7× 326 0.7× 116 2.7k
Fabrice Journé Belgium 35 1.4k 0.8× 1.1k 1.5× 616 0.9× 392 0.7× 290 0.7× 113 3.3k
Qiong Shi China 32 1.9k 1.1× 564 0.7× 600 0.9× 855 1.5× 596 1.3× 112 3.3k
Sophie Tartare‐Deckert France 37 2.5k 1.4× 1.1k 1.5× 807 1.2× 636 1.1× 491 1.1× 63 4.0k
Sang-Oh Yoon United States 21 2.0k 1.1× 584 0.8× 240 0.4× 570 1.0× 393 0.9× 30 2.8k
Peng‐Sheng Zheng China 33 1.8k 1.0× 631 0.8× 240 0.4× 868 1.6× 395 0.9× 73 2.7k
Kyung‐Hee Chun South Korea 37 2.5k 1.4× 717 0.9× 707 1.1× 1.0k 1.8× 259 0.6× 80 3.5k

Countries citing papers authored by Li‐Wha Wu

Since Specialization
Citations

This map shows the geographic impact of Li‐Wha Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Li‐Wha Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Wha Wu more than expected).

Fields of papers citing papers by Li‐Wha Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Wha Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Li‐Wha Wu. The network helps show where Li‐Wha Wu may publish in the future.

Co-authorship network of co-authors of Li‐Wha Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Wha Wu. A scholar is included among the top collaborators of Li‐Wha Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li‐Wha Wu. Li‐Wha Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Hung, Jia‐Horung, Ping‐Hsing Tsai, Shih‐Hwa Chiou, et al.. (2024). TIMP3/Wnt axis regulates gliosis of Müller glia. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(4). 167087–167087. 2 indexed citations
4.
Chen, Yuh‐Ling, Kuan‐Chih Huang, Jer‐Horng Wu, et al.. (2022). Microbiome dysbiosis inhibits carcinogen-induced murine oral tumorigenesis. Journal of Cancer. 13(10). 3051–3060. 3 indexed citations
5.
Chen, Jiung-Wen, Jer‐Horng Wu, Wei-Fan Chiang, et al.. (2021). Taxonomic and Functional Dysregulation in Salivary Microbiomes During Oral Carcinogenesis. Frontiers in Cellular and Infection Microbiology. 11. 663068–663068. 13 indexed citations
6.
Yen, Yi‐Ting, Hung-Chi Cheng, Yi‐Chieh Chen, et al.. (2016). Dysregulation of Rab37-Mediated Cross-talk between Cancer Cells and Endothelial Cells via Thrombospondin-1 Promotes Tumor Neovasculature and Metastasis. Clinical Cancer Research. 23(9). 2335–2345. 44 indexed citations
7.
Taniguchi, Koji, Li‐Wha Wu, Sergei I. Grivennikov, et al.. (2015). A gp130–Src–YAP module links inflammation to epithelial regeneration. Nature. 519(7541). 57–62. 502 indexed citations breakdown →
8.
Wang, Kepeng, Min Kyoung Kim, Giuseppe Di, et al.. (2014). Interleukin-17 Receptor A Signaling in Transformed Enterocytes Promotes Early Colorectal Tumorigenesis. Immunity. 41(6). 1052–1063. 263 indexed citations
9.
Su, Mei-Tsz, et al.. (2013). Prokineticin receptor variants ( PKR1-I379V and PKR2-V331M ) are protective genotypes in human early pregnancy. Reproduction. 146(1). 63–73. 14 indexed citations
10.
Huang, Guan-Cheng, et al.. (2012). Significance of migration-related genes (S100A9, MAGED4, C8orf30A, IL-8) in esophageal squamous cell carcinoma. 4(1-2). 16–18. 1 indexed citations
11.
Chen, Jia-Yang, Yen-An Tang, Hsueh‐Fen Juan, et al.. (2011). A Novel Sialyltransferase Inhibitor Suppresses FAK/Paxillin Signaling and Cancer Angiogenesis and Metastasis Pathways. Cancer Research. 71(2). 473–483. 115 indexed citations
12.
Tsai, Sen‐Tien, Ying‐Tai Jin, Tung‐Yiu Wong, et al.. (2010). ENO1, a potential prognostic head and neck cancer marker, promotes transformation partly via chemokine CCL20 induction. European Journal of Cancer. 46(9). 1712–1723. 97 indexed citations
13.
Lin, Tsun‐Mei, Shu‐Lin Liu, Li‐Wha Wu, et al.. (2008). Ets-1 mediates platelet-derived growth factor-BB-induced thrombomodulin expression in human vascular smooth muscle cells. Cardiovascular Research. 81(4). 771–779. 27 indexed citations
14.
Wang, Yiying, et al.. (2007). A Color-Based Approach for Automated Segmentation in Tumor Tissue Classification. Conference proceedings. 2007. 6576–6579. 29 indexed citations
15.
Lau, K.‐H. William, et al.. (2005). An osteoclastic protein‐tyrosine phosphatase is a potential positive regulator of the c‐Src protein‐tyrosine kinase activity: A mediator of osteoclast activity. Journal of Cellular Biochemistry. 97(5). 940–955. 24 indexed citations
16.
Tsai, Sen‐Tien, et al.. (2005). Amphiregulin as a tumor promoter for oral squamous cell carcinoma: Involvement of cyclooxygenase 2. Oral Oncology. 42(4). 381–390. 16 indexed citations
17.
Lien, Wen‐Hui, et al.. (2004). Participation of cyclin D1 deregulation in TNP-470-mediated cytostatic effect: involvement of senescence. Biochemical Pharmacology. 68(4). 729–738. 15 indexed citations
18.
Wu, Li‐Wha, Lindsey D. Mayo, James D. Dunbar, et al.. (2000). Utilization of Distinct Signaling Pathways by Receptors for Vascular Endothelial Cell Growth Factor and Other Mitogens in the Induction of Endothelial Cell Proliferation. Journal of Biological Chemistry. 275(7). 5096–5103. 251 indexed citations
20.
Marino, Michael W., James D. Dunbar, Li‐Wha Wu, et al.. (1996). Inhibition of Tumor Necrosis Factor Signal Transduction in Endothelial Cells by Dimethylaminopurine. Journal of Biological Chemistry. 271(45). 28624–28629. 30 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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